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Seattle, Washington, United States
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Websites
- Company Website
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http://www.paralleldots.com/
- Entrepreneurship Cell, IIT KGP
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http://www.ecell-iitkgp.org
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Articles by Ankit Narayan
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Improving the Odds of Product Launch (NPD) Success with Image Recognition
Improving the Odds of Product Launch (NPD) Success with Image Recognition
Through ShelfWatch, ParallelDots has been at the helm of providing an image recognition solution that FMCG companies in…
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Owning the Traditional Trade – A ‘Window’ of Opportunity for CPG ManufacturersApr 2, 2020
Owning the Traditional Trade – A ‘Window’ of Opportunity for CPG Manufacturers
Modern Trade is cornering CPG brands It won't be an exaggeration to call the relationship between CPG companies and…
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6 Techniques For Acing Today’s Retail Execution GameApr 1, 2020
6 Techniques For Acing Today’s Retail Execution Game
Customers love new and exciting things that spark interest and engagement. That is why stores should adopt the habit of…
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5 Things to Consider Before Deploying Image Recognition in Traditional TradeJan 23, 2020
5 Things to Consider Before Deploying Image Recognition in Traditional Trade
There is considerable literature available on improving retail execution in modern and organized trade channels…
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1 Comment -
How To Choose An NLP Vendor For Your OrganizationJun 21, 2019
How To Choose An NLP Vendor For Your Organization
“The thinking in AI has changed from ‘What’s possible?’ to ‘How do I do this?’” explains Rafiq Ajani at McKinsey…
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1 Comment
Activity
10K followers
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Ankit Narayan Singh shared thisWhat does “98% accuracy” really mean when your image recognition solution hits the real world? Most vendors showcase impressive demos, benchmark scores, and headline accuracy numbers. But procurement teams and decision-makers know that the real challenge begins after deployment. In retail execution, image recognition performance is influenced by factors that rarely appear in sales presentations: • Quality and diversity of training data • Lighting variations across stores • Shelf occlusions and cluttered environments • Long-tail SKUs with limited examples • Deployment and maintenance challenges • Real-world edge cases that emerge over time The difference between a successful rollout and an expensive pilot often comes down to what lies beneath the surface. We've compiled a practical whitepaper for procurement leaders, category teams, and retail technology decision-makers to help evaluate image recognition vendors beyond the marketing claims. Key Things Procurement and Decision Makers Should Keep in Mind Before Selecting an Image Recognition Vendor The paper covers: ✅ What accuracy metrics actually matter ✅ Questions every vendor should be able to answer ✅ Hidden operational costs and dependencies ✅ How to assess scalability across markets and categories ✅ Common pitfalls that lead to disappointing deployments Choosing the right partner isn't about finding the highest claimed accuracy. It's about finding a solution that consistently delivers value in real-world conditions. Download the whitepaper and let us know which evaluation criteria you consider most important when selecting AI vendors - https://lnkd.in/gCw-Xgs6 #RetailExecution #ImageRecognition #ComputerVision #RetailTech #CPG #AI #MachineLearning #RetailAnalytics
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Ankit Narayan Singh shared thisExcited to be featured again in Forbes Technology Council expert panel discussion on how teams can strengthen SRE without overwhelming engineers. My take: cap toil, automate aggressively with AI, and keep engineers focused on engineering. https://lnkd.in/g-EP5DgYHow To Strengthen SRE Without Overwhelming Tech TeamsHow To Strengthen SRE Without Overwhelming Tech Teams
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Ankit Narayan Singh reposted thisAnkit Narayan Singh reposted thisPerfect Store execution isn't a one-time achievement. It's a discipline maintained across thousands of stores, hundreds of SKUs, and every off-trade channel. ShelfWatch gives field teams the visibility to make that happen, consistently and at scale. Proud to be powering that for Hieneken
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Ankit Narayan Singh shared this🚀 🚀Ankit Narayan Singh shared thisParallelDots has been featured in Hindustan Times "Brands to Watch in 2026: Redefining the Future of Business." ShelfWatch is redefining retail execution for the world's leading CPG brands giving field teams real-time shelf intelligence directly at the point of sale, across 50+ countries. In 2026, we're doubling down on what matters most: making retail audits faster, smarter, and more accurate than ever! https://lnkd.in/gJVGDv2TBrands to watch in 2026: Redefining the future of businessBrands to watch in 2026: Redefining the future of business
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Ankit Narayan Singh shared thisShared my take in a Forbes Tech Council expert panel on fighting feature creep. My point: adoption numbers alone should not determine whether a feature lives or dies. Microsoft's Clippy, the butt of all jokes and memes, had high engagement but it also created significant confusion and they killed it eventually. If a feature generates more friction than value, sunset it. Customer pain is harder to argue with than a usage chart.Ankit Narayan Singh shared thisThe smartest strategies look beyond raw adoption and consider the fuller picture of customer value, business impact, strategic fit and the ongoing cost of complexity. Read more at https://hubs.li/Q04cB4m_0 from Lori Schafer of Digital Wave Technology, Ankit Agrawal of Equifax, Kevin Dominik Korte, Ankit Narayan Singh of ParallelDots., Sandeep Shivam of Tavant, Michael Flickinger of Bizowie Cloud ERP, Aruna Veerappan of Fortune 500 companies, Abhinav Sinha of ZentrumHub, Rajiv Gupta of Amazon Web Services, Boyan (Bo) Ivanov of StorPool Storage, Uttam Kumar of American Eagle Outfitters Inc., Rishi Gupta (Ex-Walmart, Nike) of Infosys DX Consulting, Salim Gheewalla of utilITise, Vishwanadham Mandala of Cummins Inc, Ajit Sahu of Data SafeGuard INC, Margarita Simonova of ILoveMyQA, Michael Tyrimos of Capacitor Partners, Divye Khilnani of Intuit Inc., Sarvesh Desai of KPMG LLP, and Vanessa Chambers of Martus SolutionsHow To Stop Feature Creep And Prioritize Product ValueHow To Stop Feature Creep And Prioritize Product Value
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Ankit Narayan Singh reposted thisAnkit Narayan Singh reposted thisEngineers who understand how to impose structure around model behavior play a critical role in turning experimental workflows into reliable systems. https://hubs.li/Q046DQD10 Written by Ankit Narayan Singh of ParallelDotsFive Valuable Engineering Skills For The AI-First WorldFive Valuable Engineering Skills For The AI-First World
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Ankit Narayan Singh shared thisIf you are a software engineer anxious about AI taking your job, I wrote about why you shouldn't be in my latest Forbes Technology Council article. The gap between what models can do in a demo and what it takes to make them work in production is massive. And that gap is your opportunity. Wrote about five areas where software engineers have a clear and lasting advantage. 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧. 𝐌𝐞𝐦𝐨𝐫𝐲 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞. 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐝 𝐜𝐨𝐧𝐭𝐫𝐨𝐥. 𝐇𝐢𝐞𝐫𝐚𝐫𝐜𝐡𝐢𝐜𝐚𝐥 𝐩𝐥𝐚𝐧𝐧𝐢𝐧𝐠. 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲. These are not drastically new skills to learn from scratch. They are extensions of what strong engineers already do. The AI era does not make engineering less important. It makes good engineering even more important. https://lnkd.in/gmv9KbA4Five Valuable Engineering Skills For The AI-First WorldFive Valuable Engineering Skills For The AI-First World
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Ankit Narayan Singh shared thisLooking forward to speaking at the Google Cloud panel in Bengaluru on The Agentic Pivot: Engineering the $1B Lean Startup. As AI moves from being an assistant to becoming an agent, accuracy and reliability start to matter much more. These systems will be expected to take actions and operate inside real business workflows. That shift opens up many billion-dollar opportunities across the agentic stack. Most of these will not be solved by wrapper startups or commodity LLMs alone. They require deep engineering around reliability, domain adaptation and integration with real-world systems. Having spent more than a decade building applied AI systems that run in production, I’m looking forward to sharing a practical perspective on where the real opportunities lie and how lean teams can realistically be while building them. See you there! 👋
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Ankit Narayan Singh shared thisExcited to be speaking at Digital Native Connect on March 18th! 🙌 Looking forward to sharing my experience on building AI-first products that actually scale and deliver business outcomes beyond demos! Hope to see you there! 🚀Ankit Narayan Singh shared this#SpeakerAnnouncement 𝐌𝐞𝐞𝐭 𝐎𝐮𝐫 𝐒𝐩𝐞𝐚𝐤𝐞𝐫: 𝐌𝐫. Ankit Narayan Singh, 𝐂𝐨-𝐅𝐨𝐮𝐧𝐝𝐞𝐫 & 𝐂𝐓𝐎, ParallelDots AI is no longer an add-on; it’s the core. Join Mr. Ankit Narayan at 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐍𝐚𝐭𝐢𝐯𝐞 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 | 𝐁𝐞𝐧𝐠𝐚𝐥𝐮𝐫𝐮 | 𝟏𝟖𝐭𝐡 𝐌𝐚𝐫𝐜𝐡 𝟐𝟎𝟐𝟔 as he shares insights on building AI-first, cloud-enabled digital services that scale with intelligence and impact. 𝐖𝐡𝐚𝐭 𝐭𝐨 𝐞𝐱𝐩𝐞𝐜𝐭: 👉 Embedding AI at the heart of digital strategy 👉 Enhancing cloud capabilities with intelligence 👉 Delivering smarter, faster digital experiences 👉 Scaling innovation with real business outcomes Be part of the conversation shaping the AI-driven future, hosted by IndiaIT360. 𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰: https://lnkd.in/gjX838GR IndiaIT360 | Alok Gupta | Nishtha Gupta | Sarita Verma | Veena Rathi | Bhavna Agrahari | Nishant Chaudhary | Sadique Mohammad | Yogesh Singh #IndiaIT360 #DigitalNativeConnect #MultiCloud #EdgeComputing #CloudStrategy #EnterpriseAI #DigitalTransformation #CIOConnect #CXOConnect #ITLeadership #FutureOfTech #DigitalTrust #SmartEnterprise #TechEcosystem #InnovateToLead #SpeakerAnnouncement
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisElastic has agreed to acquire Deductive AI for up to $85M, bringing AI-powered software reliability engineering into its observability platform just months after Deductive emerged from stealth with a $7.5M seed round led by CRV, with Databricks Ventures, Thomvest, and PrimeSet participating. Co-founded by Rakesh Kothari (ex-ThoughtSpot) and Sameer Agarwal (founding engineer at Databricks), the deal comes as sector leader Resolve AI — co-founded by ex-Splunk executive Spiros Xanthos — is valued at $1.5B following a $40M Series A extension. https://lnkd.in/gEj_rfgP #AI #SRE #AIAgents #Acquisition #EnterpriseAI #SoftwareReliability #Observability #GenerativeAI #AIInvesting #Elastic
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisI've been asked a lot how I negotiated my ElevenLabs compensation as the 4th employee and the person to build GTM from the ground-up. It was simple: ▪️I established my priority: a specific equity % above anything else ▪️Told Mati what my target ownership was. I felt it was fair and the founders felt it was too high (the standard response) ▪️I then proposed a milestone-driven approach to unlock my target ownership, with a twist of creativity ▪️A portion of the equity would start from joining with the standard equity plan (4y plan, 1y cliff, monthly vesting). A second tranche would only be released if we hit a specific ARR threshold within 24 months. As soon as reached, it would be released with a backdate to my original start date (again, 4y plan, 1y cliff, monthly vesting) ▪️The second tranche threshold was very ambitious. Only a handful of companies had done it but we all felt it was fair. It aligned everyone's incentives for company revenue & valuation growth ▪️No $ commission on sales. I never got a single $ for deals I've sold in 3.5 years. Not even the multi-$m deals I brought. This is & was fair ▪️For the first 9 months, it was mostly me selling. 60-80 meetings per week. Insane. But I was motivated to hit the tranche 2 milestone ▪️We hit the revenue milestone within 12 months of launching our first ever product The reason I tell this story now is because there is no higher motivation than equity. Outside the US, we don't give enough equity to employees and employees haven't understood & cared enough about equity. This has a direct impact in success. I invest through my fund, Baobab Ventures, and I always recommend founders a milestones-driven compensation plan in GTM. It is the perfect way to align incentives.
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisOne month down at Yeo Valley! 🌿🐄 Time flies when you're having fun! I've just completed my first month at Yeo Valley Organic and I'm really enjoying getting to know this fantastic business. So far, I've met some amazing people, sampled some delicious food (a tasty perk of the job!), and even spent time down on the farm. On the IT side, there's no shortage of exciting opportunities to help transform the way we do business and support the future of Yeo. I'm looking forward to playing my part in helping to nurture and nourish people and planet, and to seeing what the next chapter brings. Here's to the journey ahead! 🚜💻🥛🌍 #YeoValley #NewBeginnings #IT #PeopleAndPlanet #LifeAtYeoValley
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisSome dreams are seen with open eyes. Today, our family witnessed a moment that will stay with us forever as we watched Aman K. walk across the stage at his convocation from the Smith School of Business at Queen's University, one of the world's most respected institutions for commerce and business. There are achievements that seem inevitable in hindsight, but those who know the journey understand what it truly took: the quiet mornings of preparation, the moments of doubt silenced by determination, and the kind of grit that doesn't announce itself but simply shows up every single day. Aman, you dared to dream at a scale that many would hesitate to imagine. And then, you did the harder thing: you worked for it. As you step forward into a world that will present both challenges and opportunities, carry with you the lessons from this journey: Excellence is not a destination, it is a Discipline; Passion without Perseverance is incomplete; and every door you open from here on, you open not just for yourself, but for everyone who believed in you. The best chapters are still unwritten. Go write them with the same courage that brought you here. Congratulations, Aman, we are proud of you!
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisWe are hosting a webinar to show you how to win the shelf. 🎙️ Shelf to Strategy: Winning the Last Three Feet of Retail ⏰ 3:30 PM IST | 6:00 PM SGT | 11:30 AM CEST | ⏱️ 30 mins In 30 minutes, Madhu Kris and Rishabh Agarwal break down the four metrics that measure shelf execution, including the one nobody tracks, and the two gaps quietly draining revenue you already earned. You will walk away with three things your team can do Monday morning. 🚀 👉 Save your seat (link in comments). #CPG #retailexecution #shelfwatch #perfectstore #trademarketing #retailtech
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisEvery firm in executive search is asking the 𝙬𝙧𝙤𝙣𝙜 question. It's not "should we 𝗯𝘂𝗶𝗹𝗱 𝘰𝘳 𝗯𝘂𝘆?" It's: "What can we now do that we simply couldn't before?" A few days ago, I was at the Harvard Club of New York City representing Recruiterflow at the Hunt Scanlon Media conference. Six panels. That reframe came up in the very first session - and it set the tone for everything that followed. AI isn't just doing old things faster. It's unlocking entirely new capabilities. Conversational querying of your own data, Surfacing institutional knowledge buried in old notes, Interview scheduling that drops from 3 days → to 3 minutes. But every panel came back to the same caveat. None of it compounds without 𝘤𝘭𝘦𝘢𝘯 𝘥𝘢𝘵𝘢. None of it scales without 𝘩𝘶𝘮𝘢𝘯𝘴 𝘪𝘯 𝘵𝘩𝘦 𝘭𝘰𝘰𝘱. None of it sticks if your team doesn't 𝘣𝘦𝘭𝘪𝘦𝘷𝘦 in it first. The firms 𝘴𝘵𝘳𝘶𝘨𝘨𝘭𝘪𝘯𝘨? They bought licenses and assumed adoption would follow. The firms 𝘧𝘶𝘵𝘶𝘳𝘦-𝘱𝘳𝘰𝘰𝘧𝘪𝘯𝘨? They built champions, ran pilots, and made AI part of how work actually gets done - not a tool sitting on top of it. 𝗔𝗜 𝙖𝙙𝙤𝙥𝙩𝙞𝙤𝙣 and 𝗔𝗜 𝙤𝙪𝙩𝙘𝙤𝙢𝙚𝙨 are not the same thing. Not even close. Manan Shah Amritanshu Anand Nisha Singh #HuntScanlon #ExecutiveSearch #AIinExecSearch #AIAdoption #AIStrategy #Recruiterflow #AInative #Futureproof #Enterprise
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisIn 2019, four engineers �� Tuhin Srivastava, Amir Haghighat, Phil Howes, and Pankaj Gupta — founded Baseten on a quiet but powerful bet: Training AI models would get all the headlines. Running them at scale would get all the money. They were right. Baseten builds the infrastructure that sits between an AI model and the company using it — handling inference, optimizing costs, routing requests to the most efficient model for each task. Their pitch: open-source models are getting very good. Companies shouldn't have to pay frontier model prices for every use case. Customers like Cursor, Notion, and Mercor have reported up to 30% cost reduction compared to proprietary alternatives. Revenue grew from $200M to $600M annualized in a single quarter. This week they closed a $1.5B round at up to $13B valuation — 160% higher than just five months ago. CEO Srivastava said it best: "If cloud was the foundation that enabled the last generation of great technology companies, inference is the foundation for the next." The race to own the inference layer is now officially the biggest fight in AI. #AIInfrastructure #Baseten #StartupFunding #MachineLearning #TheFoundory
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisLooking to hire experienced Analytics/Machine Learning professionals as AI architects in my team at ParallelDots. Would be looking at people with 5+ years [or even more, the more, the better] of experience. At ParallelDots, we train and deploy models at scale, 100s of new models process millions of images every month. There is substantial decision making involved on our proprietary computer vision platform ensuring new models being deployed are robust to real world distortions in images, store layouts and power law distribution in data. AI Architects will help me with these decisions on day-to-day basis. Not open to hiring freshers, people from unrelated work profiles. This is a cross functional role that mixes sharp analytics skills with attention to detail. An ideal person for the job is someone who has taken decisions about Machine Learning model/analytics report being shared/deployed [whatever be the technology platform, its the last mile decisions that are important]. Remote role, can work from anywhere, expect lot of calls, involvement and ownership. Preferred timezone : IST. To apply, please share CV on leadershiphiring@paralleldots.com and we will get back if we see a fit. Alternatively, apply on this link : https://lnkd.in/gADNAqEh
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Ankit Narayan Singh liked thisAnkit Narayan Singh liked thisThe most impactful health habit I've built in the last few years takes less than 10 minutes. And it's not a workout. It's a walk after meals. For a long time, I focused on the big things: 1. Strength training 2. Nutrition 3. Protein intake But one habit that quietly moved the needle was a simple 10-minute walk after lunch or dinner. Benefits I noticed: * Better digestion * More stable energy levels * Reduced post-meal sluggishness * Easier fat loss The lesson wasn't about walking. It was about finding habits that are so simple that they don't depend on motivation. As professionals, we often look for complex solutions. But many health outcomes are driven by small actions repeated hundreds of times. If you could add just one health habit this week, make it a short walk after your largest meal. Simple. Free. Effective. What's the simplest health habit that has given you outsized results?
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Hemal Shah
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Really excited to watch this team build. What drew me in was a combination that’s rare to see done well: founders with a deep, almost obsessive care for craft, and a belief that design isn’t just how something looks, but how it earns trust, communicates intent, and ultimately drives outcomes. At the same time, it feels like we’re at an inflection point. Design tools haven’t fully caught up to what AI can enable, and the gap between “tools” and “taste” is still wide. There’s an opportunity to rethink how products are imagined, created, and iterated on, from first principles. noon.design is going after that in a way that feels both grounded and ambitious. Grateful to be along for the ride, and excited to see what they build. Let's go Aditya Bandi John Smothers 🚀
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Snehal Kulkarni
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The GCC Shift No One Is Talking About: “Decision Altitude Design” After returning to Hyderabad and meeting leaders across the GCC ecosystem, I’ve noticed something that rarely gets discussed, yet quietly determines whether a GCC becomes a strategic engine or stays a delivery shop. It’s not AI maturity. Not talent density. Not cost structure. It’s something bigger: The altitude at which decisions get made inside the GCC. Every GCC operates at one of three decision altitudes: Level 1-> Task Altitude Teams execute. They wait for clarity. They follow instructions. Great for output. Terrible for influence. Level 2 --> Ownership Altitude Teams manage outcomes. They shape how something is built. They add velocity and solve problems locally. Good for innovation. But still dependent on HQ for direction. Level 3 --> Enterprise Altitude (The Rare One) Teams think like the mothership. They understand the customer, the business model, the risk, the trade-offs. They influence what gets built, not just how. This is where a GCC becomes a global strategy center. Very few centers operate here , but the ones that do are redefining what “India-led leadership” means. Here’s the truth: You can hire hundreds of brilliant engineers. You can run 24×7 pods. You can automate everything in sight. But if your decision altitude stays low, your impact will stay low. The next wave of GCC transformation will come from redesigning - how context flows - how decisions are distributed - how India teams influence upstream thinking This is the real unlock. Now that I’m back in Hyderabad, this is the work that excites me the most: Building GCCs that operate at enterprise altitude, not just delivery altitude. If you're building a center here or scaling one, happy to connect, meet in person, and exchange notes. Hyderabad is ready for its next era of global leadership. And leaders who think at enterprise altitude will shape it. #GCC #Leadership #Hyderabad #IndiaGCC #DecisionDesign #DigitalTransformation #AI #FutureOfWork #ReturningLeader EY EY Technology Solutions Viswanathan K S GCC Pulse™ Susheel Kumar Achyut Menon "AK" Vishnu BG Amrish Kumar Shankaran (Shanks) Srinivasan Accenture in India Reshab Shaw LinkedIn News India T-Hub Vishwanadh Raju Supriya Sethi (She/Her/Hers) KPMG India Naveen Gullapalli Amgen India Lilly India McDonald's Global Office in India Vanguard India Covasant Pavan Kumar Bandaru Korn Ferry Kamal Karanth Xpheno Talentiser Michael Page PageGroup ANSR Subu Boyinapalli Lalit Ahuja Southwest Airlines StarRez, Inc. Happening Hyderabad Zinnov
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PULKIT AGRAWAL
Noon • 934 followers
Waited so long to share this with you all 𝗟𝗲𝗮𝗽 𝗼𝗳 𝗳𝗮𝗶𝘁𝗵 It was early 2025, got a call from Kush to join a small team of three people. Somewhere deep down, I knew that this is a lifetime opportunity for me to stop walking and start flying. Discussion with family, resignation, flight booking, all done within hours! #justdoit 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 𝘁𝗶𝗹𝗹 𝗻𝗼𝘄 Lived away from home for months, in a different country. New role, completely new tech turf, new challenges. Became part of one of the best groups of people, friends and mentors building a product and tech which didn’t exist. 𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺 • The Mirror Dimension: Product designers build complex designs and systems in a parallel world far from reality i.e. breathing live code. • Form without function: Their tools let them design the form in pixels, layouts, surface-level prototypes, but not the function. And as every designer knows, “form follows function." • The Remake: Developer clones their creation into code, transformational loss is inevitable. • The Shortcut to Nowhere: Product designers are the least understood and under appreciated craftsmen in the software industry and even in this new age, the promises being made are casual. Connecting AI agents via MCPs to design files is not a solution, it's a shortcut that skips the hard problem. 𝗧𝗵𝗲 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 First time ever in product design, dual canvas where design and product code live in the same world and evolve together in real time. No handoffs, no translations, just a single source of truth. 𝗙𝘂𝗻𝗱𝗶𝗻𝗴 & 𝗕𝗮𝗰𝗸𝗲𝗿𝘀 We've raised $44M from Chemistry, First Round, Scribble Ventures, SV Angel, Afore Capital, and Elevation Capital and backed by CXOs and Design Heads from Stripe, OpenAI, Dropbox, Microsoft AI, Nubank, Notion, Perplexity, Behance, Sundial and many many more … Noon Aditya Bandi Kushagra Sinha
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DeckVice
305 followers
India’s startup momentum is quietly shifting gears from hardware and defence to consumer brands and wealth platforms. Naxatra Labs is building the kind of deeptech India needs for the next decade, where precision engineering meets scale, and manufacturing is no longer an afterthought but the core advantage. Heads Up For Tails proves that Indian D2C brands can win on emotion, community, and premium experience, not just discounts in categories people deeply care about. Wint Wealth is redefining how everyday investors access structured, fixed-income opportunities, making traditionally complex products feel simple and transparent. CoreEL Technologies is strengthening India’s strategic tech backbone, quietly enabling mission-critical systems that power the country’s aerospace and defence ambitions. Different sectors. One theme: India is building for scale, quality, and global relevance. Follow DeckVice where ambitious founders sharpen their strategy, tell stronger stories, and unlock faster growth. #IndianStartups #StartupFunding #DeepTech #D2CBrands #WealthTech #DefenceTech #EVTech #PetCareIndustry #NaxatraLabs #HeadsUpForTails #WintWealth #CoreELTechnologies
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Aditi Aggarwal
GTM Unbound • 13K followers
I’ve always believed funding should follow strategy not the other way around. What Efficient Capital Labs is doing here isn’t just unlocking capital , they’re unlocking choice. For founders, that means scaling on your own terms without losing control of your narrative. A much‑needed shift in how we think about the capital stack. Kaustav Das | Manish Arora | Denada Ramnishta | Neha Sanjay | Rakshpal Singh #Founders #AI #SaaS #ECL #Startups #RBF
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Arjun Malhotra
Good Capital • 3K followers
India has abundant expertise across every domain - logistics operators, subject matter experts, local service providers, etc. What's scarce isn't capability. It's the systems that coordinate this capability at scale. Most companies see this fragmentation and default to vertical integration: build everything in-house, own all capabilities, control every aspect of delivery. This works if you have unlimited capital and time. Most companies have neither. But there's an alternative approach that we've noticed two of our portcos execute remarkably well, in completely different industries - 1. When Meesho looked at India's logistics, and they saw thousands of fragmented local operators. Instead of building warehouses and delivery fleets, they built Valmo - an orchestration platform coordinating existing partners. Individual pilots with smartphones earn sustainable incomes, small hub operators build viable businesses, and Meesho gets coverage across 15,000+ pin codes at 12% lower cost than traditional third-party-logistics. 2. Entri saw similar fragmentation in education. India has abundant teaching expertise already running offline/online programs. Entri partners with them for content while owning demand generation, platform infra, quality monitoring, and placements. This allows them to launch new categories in weeks and scale across languages without the capital intensity of building in-house teams for every vertical. If I had to pull a common thread, it's that in fragmented markets like India, the orchestration layer often matters more than asset ownership. Coordinate what exists rather than rebuilding from scratch.
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Dushyant Verma
Clairva • 5K followers
The weekend musing, I stumbled upon the article in The Ken “Does India Risk Losing Cultural Relevance in the AI Era?” highlights a critical and overlooked truth in the global AI race. Rohin Dharmakumar of Ken and co-founder and CTO of Ozontel, Chaitanya Chokkareddy notes, while the world chases ever-larger models and faster GPUs, India is ill equipped to leverage its greatest competitive edge. Its data, the multilingual, multicultural, multimodal fabric of its society. That argument holds a mirror to the broader AI ecosystem. We have reached a stage where for developing a model, architecture is known and hardware is accessible (read NVIDIA). The one factor that remains opaque and unknown is the dataset. It is the Missing Piece in the AI Puzzle AI’s current trajectory is heavily model-centric. Every breakthrough from GPT-4 to Gemini to Claude is defined by parameter counts and benchmark scores. Yet, what underpins these models is not architecture alone, but the breadth, diversity, and quality of data they learn from. If the world’s largest models are being trained predominantly on Western, English-language, text-heavy datasets, the outputs will inevitably reflect that worldview. The result? AI systems that may excel technically but fail culturally misinterpreting context, tone, and emotion when engaging with the majority of the world’s population. India and the Global South sit on a cultural data goldmine. From regional cinema to street conversations, from folk music to memes, the region’s expression is multimodal spoken, visual, emotional not purely textual. However, because AI training still relies heavily on written corpora, many Indian and Southeast Asian languages remain invisible in the digital ecosystem. For instance, while English, Mandarin, and Spanish dominate AI training datasets, languages such as Odia, Khasi, or Malay have little to no structured digital representation because there are not enough websites for LLMs to read from. If nations in the Global South invest in capturing, annotating, and rights-managing this rich local data, they could build an entirely new economic layer: - Licensing datasets for global model training. - Developing culturally aligned agents and conversational systems. - Exporting AI grounded in local context rather than generic global models. Without intentional representation, the Global South risks becoming the backend of the AI economy, supplying labour and infrastructure but not contributing to the creative or cultural layers of intelligence. Owning culturally rooted datasets ensures not just participation, but presence the ability to shape how AI perceives identity, empathy, humour, and expression, what we envisage as AGI. In the gold rush for frontier models and AI agents, data is the last untapped mine. The nations that own their cultural data will not only shape the economics of AI they will shape its intelligence.
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